Back to Search
Start Over
Landscape Analysis for the Specimen Data Refinery
- Source :
- Research Ideas and Outcomes, Vol 6, Iss , Pp 1-25 (2020)
- Publication Year :
- 2020
- Publisher :
- Pensoft Publishers, 2020.
-
Abstract
- This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens.
- Subjects :
- machine learning
natural language processing
nat
Science
Subjects
Details
- Language :
- English
- ISSN :
- 23677163
- Volume :
- 6
- Issue :
- 1-25
- Database :
- Directory of Open Access Journals
- Journal :
- Research Ideas and Outcomes
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.099422e2e68a4a09a0c6265d86b3433b
- Document Type :
- article
- Full Text :
- https://doi.org/10.3897/rio.6.e57602